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- Tasks: Dive deep into data analysis and design impactful remediation strategies.
- Company: Join a supportive team in a dynamic financial services environment.
- Benefits: Enjoy flexible benefits, hybrid working, and 28+ days of holiday.
- Other info: Embrace your authentic self and connect with vibrant employee networks.
- Why this job: Make a real impact while collaborating with diverse stakeholders.
- Qualifications: Basic SQL knowledge or eagerness to learn; Excel skills are a plus.
The predicted salary is between 30000 - 40000 £ per year.
Join us as a Data Analyst in Remediation. This is a highly autonomous role, ideal for someone who enjoys getting under the skin of the business and working closely with a wide range of stakeholders. As part of a small, collaborative team, you'll play a key role in designing remediation methodologies, carrying out detailed transactional-level data analysis, and using our Lowell systems and data expertise to interpret findings, identify themes and make clear, actionable recommendations. If you're looking for a role where you can truly make an impact while being part of a team that works hard and supports one another, this could be the perfect next step for you.
Qualifications
- Knowledge of writing SQL scripts OR have the desire to learn.
- The basic SQL functions.
- Not overwhelmed by Excel or when confronted with a sheet full of data.
- Someone curious, inquisitive or a problem solver is a must.
- Financial Services and / or Debt Purchaser knowledge is desirable.
If you're excited about this role but don't meet every requirement - don't worry, still apply. Your unique perspective could be just what we're looking for.
Benefits
- A discretionary annual bonus to reward your impact.
- 3% flexible benefits that you can tailor to suit your lifestyle, whether that's extra cash, more holiday, or added health cover.
- Hybrid working for the best of both worlds - collaboration and focus.
- Free onsite parking, saving you time and money.
- Recharge and refresh opportunities with 28 days of holiday plus public holidays, and the option to buy up to five more - giving you more time for what matters most.
- Peace of mind with life assurance that supports your loved ones, no matter what.
- A culture that celebrates you and supports your wellbeing - with recognition awards, access to on-site gym facilities, and a variety of wellbeing initiatives offered throughout the year to help you stay balanced, resilient and feeling your best.
- Encouragement to be your authentic self at work by joining one of our vibrant employee networks - like Rise (Gender), Proud (LGBTQIA+), Culture, or Spark (Neurodiversity & Disability) - and connect with a community that celebrates and supports you.
We welcome people from all backgrounds and experiences. Whatever your identity - culture, gender, sexual orientation, religion, ethnicity, age, neurodiversity, or disability - if you're passionate about making credit work better for everyone, we'd love to hear from you.
Data Analyst (Remediation) in Colton employer: Lowell Financial Services GmbH
Contact Detail:
Lowell Financial Services GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Remediation) in Colton
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into the company’s values and recent projects. Show us you’re not just another candidate, but someone who genuinely cares about making an impact.
✨Tip Number 3
Practice your data analysis skills with real-world scenarios. We love seeing candidates who can think critically and solve problems on the spot, especially when it comes to SQL and Excel.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, your unique perspective could be exactly what we need. We’re all about diverse backgrounds and experiences!
We think you need these skills to ace Data Analyst (Remediation) in Colton
Some tips for your application 🫡
Show Your Curiosity: As a Data Analyst, being curious is key! In your application, highlight any experiences where you've dug deep into data or solved problems. We love seeing that inquisitive spirit!
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Mention specific skills like SQL or Excel, even if you're still learning. We appreciate honesty and a willingness to grow!
Be Authentic: Don’t be shy about sharing your unique perspective. Whether it’s your background or experiences, we want to know what makes you, you! It could be just what we're looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Lowell Financial Services GmbH
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with SQL basics and Excel functions, as these will likely come up in conversation. Being able to discuss how you've used data to solve problems in the past will show your potential employer that you're ready to dive into the role.
✨Understand the Business
Take some time to research the company and its operations, especially in the financial services sector. Understanding their business model and challenges will help you tailor your answers and demonstrate your genuine interest in the role. Plus, it’ll give you a solid foundation for asking insightful questions during the interview.
✨Show Your Curiosity
As a Data Analyst, being inquisitive is key. Prepare examples of times when your curiosity led to valuable insights or solutions. This will highlight your problem-solving skills and your ability to dig deep into data, which is exactly what this role requires.
✨Be Ready to Collaborate
Since this role involves working closely with various stakeholders, be prepared to discuss your teamwork experiences. Share specific instances where you collaborated effectively, highlighting your communication skills and how you support others in achieving common goals. This will show that you’re not just a lone wolf but a team player who can contribute to a collaborative environment.